Kishan KC
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Rui Li
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Joint Inference for Neural Network Depth and Dropout Regularization
Machine learning predicts nucleosome binding modes of transcription factors
Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks
Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction
Interpretable sparse encoding of sequences for protein-protein interaction prediction
Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches
GNE: A deep learning framework for gene network inference by aggregating biological information
A deep framework for aggregating heterogeneous biological information for gene network inference
Reconstruction of Gene Regulatory Networks with Ensemble SVM
Learning topology-preserving embedding for gene interaction networks
Network embedding approach to understand gene interaction networks
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